Bases: halotools.halo_occupation.Assembias_HOD_Model
Concrete subclass of Assembias_HOD_Model in which occupation statistics exhibit assembly bias, where some secondary host halo property modulates the mean galaxy abundance. The strength of the assembly bias is set by explicitly specifing the strength at specific values of the primary halo property.
Attributes Summary
baseline_hod_model | |
primary_halo_property_key | |
secondary_halo_property_centrals_key | |
secondary_halo_property_satellites_key |
Methods Summary
halo_type1_fraction_centrals(...) | Determines the fractional representation of host halo types as a function of the value of the primary halo property. |
halo_type1_fraction_satellites(...) | Determines the fractional representation of host halo types as a function of the value of the primary halo property. |
mean_concentration(primary_halo_property, ...) | Concentration-halo relation assumed by the underlying HOD_Model object. |
require_correct_keys(assembias_parameter_dict) | |
unconstrained_central_inflection_halo_type1(...) | |
unconstrained_polynomial_model(abcissa, ...) | |
unconstrained_satellite_inflection_halo_type1(...) |
Attributes Documentation
Methods Documentation
Determines the fractional representation of host halo types as a function of the value of the primary halo property.
Halo types can be either given by fixed-Mvir rank-orderings of the host halos, or by the input occupation statistics functions.
Determines the fractional representation of host halo types as a function of the value of the primary halo property.
Halo types can be either given by fixed-Mvir rank-orderings of the host halos, or by the input occupation statistics functions.
Concentration-halo relation assumed by the underlying HOD_Model object. The appropriate method is already bound to the self.baseline_hod_model object.
Parameters: | primary_halo_property : array_like
halo_type : array
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Returns: | concentrations : numpy array |